AIMC Topic: Protein Interaction Maps

Clear Filters Showing 31 to 40 of 375 articles

Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

PloS one Feb 27, 2025
Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide. Early detection of lung cancer can help reduce the death rate; therefore, the identification of potential biomarkers is crucial. Thus, this study ai...
Gene Regulatory Networks Gene Expression Regulation, Neoplastic Lung Neoplasms Biomarkers, Tumor Humans Computational Biology Gene Expression Profiling Machine Learning ROC Curve Prognosis Protein Interaction Maps
View on PubMed DOI

Identification of Biomarkers for Response to Interferon in Chronic Hepatitis B Based on Bioinformatics Analysis and Machine Learning.

Viral immunology Feb 24, 2025
Interferon (IFN) is a pivotal agent against hepatitis B virus (HBV) in clinic, but there is a lack of accurate biomarkers to predict the response to IFN therapy in patients with chronic hepatitis B (CHB). Our study aimed to investigate potential targ...
Transcription Factors MicroRNAs Hepatitis B, Chronic Gene Expression Profiling Interferons Antiviral Agents Gene Regulatory Networks Hepatitis B virus Computational Biology Protein Interaction Maps RNA, Messenger Humans Machine Learning Biomarkers
View on PubMed DOI

Identification of crucial genes for polycystic ovary syndrome and atherosclerosis through comprehensive bioinformatics analysis and machine learning.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Feb 21, 2025
OBJECTIVE: To identify potential biomarkers in patients with polycystic ovary syndrome (PCOS) and atherosclerosis, and to explore the common pathologic mechanisms between these two diseases in response to the increased risk of cardiovascular diseases...
Humans Machine Learning Computational Biology Databases, Genetic Atherosclerosis Polycystic Ovary Syndrome Biomarkers Female Protein Interaction Maps Gene Regulatory Networks
View on PubMed DOI

Identification of benzo(a)pyrene-related toxicological targets and their role in chronic obstructive pulmonary disease pathogenesis: a comprehensive bioinformatics and machine learning approach.

BMC pharmacology & toxicology Feb 17, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) pathogenesis is influenced by environmental factors, including Benzo(a)pyrene (BaP) exposure. This study aims to identify BaP-related toxicological targets and elucidate their roles in COPD dev...
Humans Machine Learning Pulmonary Disease, Chronic Obstructive Molecular Docking Simulation Oxidative Stress Protein Interaction Maps Computational Biology Nomograms Benzo(a)pyrene
View on PubMed DOI

Identification of biomarkers associated with phagocytosis regulatory factors in coronary artery disease using machine learning and network analysis.

Mammalian genome : official journal of the International Mammalian Genome Society Feb 14, 2025
BACKGROUND: Coronary artery disease (CAD) is the leading cause of death worldwide, and aberrant phagocytosis may be involved in its development. Understanding this aspect may provide new avenues for prompt CAD diagnosis.
Toll-Like Receptor 2 Syk Kinase Coronary Artery Disease Phagocytosis Receptors, IgG Gene Regulatory Networks Machine Learning Polymorphism, Single Nucleotide Transcription Factors Biomarkers Humans Computational Biology Databases, Genetic Gene Expression Profiling MicroRNAs Protein Interaction Maps Interleukin-1beta
View on PubMed DOI

Combining machine learning with external validation to explore necroptosis and immune response in moyamoya disease.

BMC immunology Feb 13, 2025
Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke with its etiology unknown. The relationship between necroptosis or necroinflammation and MMD pathogenesis was poorly understood. Differentially express...
Support Vector Machine Necroptosis Immunity Moyamoya Disease Machine Learning Gene Expression Profiling Humans Protein Interaction Maps Gene Regulatory Networks
View on PubMed DOI

Differential gene expression analysis and machine learning identified structural, TFs, cytokine and glycoproteins, including SOX2, TOP2A, SPP1, COL1A1, and TIMP1 as potential drivers of lung cancer.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Feb 10, 2025
BACKGROUND: Lung cancer is a primary global health concern, responsible for a considerable portion of cancer-related fatalities worldwide. Understanding its molecular complexities is crucial for identifying potential targets for treatment. The goal i...
Biomarkers, Tumor Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Humans Machine Learning Collagen Type I Tissue Inhibitor of Metalloproteinase-1 SOXB1 Transcription Factors Poly-ADP-Ribose Binding Proteins Lung Neoplasms Gene Expression Regulation, Neoplastic Osteopontin Collagen Type I, alpha 1 Chain DNA Topoisomerases, Type II
View on PubMed DOI

SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction.

BMC bioinformatics Feb 10, 2025
BACKGROUND: A massive amount of protein sequences have been obtained, but their functions remain challenging to discern. In recent research on protein function prediction, Protein-Protein Interaction (PPI) Networks have played a crucial role. Uncover...
Proteins Databases, Protein Protein Interaction Mapping Artificial Intelligence Algorithms Protein Interaction Maps Computational Biology
View on PubMed DOI

Analysis and validation of programmed cell death genes associated with spinal cord injury progression based on bioinformatics and machine learning.

International immunopharmacology Feb 9, 2025
BACKGROUND: Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It is marked by a high disability rate and potential for death. Research has demonstrated that programmed cell death (PCD) plays a significant role in th...
Spinal Cord Injuries Gene Expression Profiling Protein Interaction Maps Mice Computational Biology Databases, Genetic Apoptosis MicroRNAs Humans Machine Learning Animals Disease Progression
View on PubMed DOI

Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers.

Frontiers in endocrinology Feb 7, 2025
BACKGROUND: Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus that manifests as chronic, non-healing wounds that have a significant impact on patients quality of life. Identifying key molecular targets associated with DFUs c...
Databases, Genetic Wound Healing Humans Protein Interaction Maps Machine Learning Receptors, CXCR4 Gene Regulatory Networks Gene Expression Profiling Diabetic Foot Computational Biology
View on PubMed DOI
Popular Topics
Recent Journals